mock-review
mock-review is a Peer review & grants skill for AI agents, published by Immortalqx in the my_codex_skills repository on GitHub. Skillspace rates mock-review B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Mock peer-review workflow for manuscript authors preparing conference or journal submissions. Use when the user asks in English or Chinese for mock review, simulated review, rebuttal preparation, reviewer-style critique, or asks Codex to review a manuscript according to a named venue/journal such as ACM MM, NeurIPS, CVPR, ICLR, ICCV, IEEE journals, or a user-provided review template. The skill researches official review requirements, optionally extracts user-provided review templates in PDF/Markdown/image/text form, scans PDFs for manuscript artifact risks, studies related literature and experimental baselines, and writes a simulated review for author preparation that must not replace real peer review or impersonate an official reviewer.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 45
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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